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Satire Detection

Satire detection consists in detecting when a text is written in a satirical tone and its content shouldn't be interpreted literally.

Papers

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Showing 1–13 of 13 papers

TitleStatusHype
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News ArticlesCode0
FreSaDa: A French Satire Data Set for Cross-Domain Satire DetectionCode0
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMsCode0
A Multi-Modal Method for Satire Detection using Textual and Visual CuesCode0
Dataset of Fake News Detection and Fact Verification: A Survey—0
MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articles—0
SaRoHead: A Dataset for Satire Detection in Romanian Multi-Domain News Headlines—0
Stance-In-Depth Deep Neural Approach to Stance Classification—0
Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis—0
Understanding Satirical Articles Using Common-Sense—0
Adversarial Training for Satire Detection: Controlling for Confounding Variables—0
Attending Sentences to detect Satirical Fake News—0
Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English—0
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